partitionComparison: Implements Measures for the Comparison of Two Partitions

Provides several measures ((dis)similarity, distance/metric, correlation, entropy) for comparing two partitions of the same set of objects. The different measures can be assigned to three different classes: Pair comparison (containing the famous Jaccard and Rand indices), set based, and information theory based. Many of the implemented measures can be found in Albatineh AN, Niewiadomska-Bugaj M and Mihalko D (2006) <doi:10.1007/s00357-006-0017-z> and Meila M (2007) <doi:10.1016/j.jmva.2006.11.013>. Partitions are represented by vectors of class labels which allow a straightforward integration with existing clustering algorithms (e.g. kmeans()). The package is mostly based on the S4 object system.

Version: 0.2.3
Depends: R (≥ 3.2.0)
Imports: methods, Rdpack, lpSolve
Suggests: testthat
Published: 2017-12-19
Author: Fabian Ball [aut, cre, cph, ctb], Andreas Geyer-Schulz [cph]
Maintainer: Fabian Ball <fabian.ball at kit.edu>
BugReports: https://github.com/FabianBall/partitionComparison/issues
License: MIT + file LICENSE
URL: https://github.com/FabianBall/partitionComparison
NeedsCompilation: no
CRAN checks: partitionComparison results

Downloads:

Reference manual: partitionComparison.pdf
Package source: partitionComparison_0.2.3.tar.gz
Windows binaries: r-devel: partitionComparison_0.2.3.zip, r-release: partitionComparison_0.2.3.zip, r-oldrel: partitionComparison_0.2.3.zip
OS X binaries: r-release: partitionComparison_0.2.3.tgz, r-oldrel: partitionComparison_0.2.3.tgz
Old sources: partitionComparison archive

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